Statistics
Design, estimation, inference, comparison, and regression.
Design, estimation, inference, comparison, and regression.
This course expects complete reasoning: definitions and hypotheses are stated, manual arguments remain visible, computation is labeled as exact or approximate, and conclusions are interpreted rather than merely reported.
Course outcomes
- Connect study design and sampling mechanisms to valid statistical conclusions.
- Quantify uncertainty using sampling distributions, intervals, and tests.
- Check assumptions and distinguish statistical from practical significance.
- Fit, diagnose, and interpret foundational statistical models reproducibly.
Prerequisites
probability, mathematical-computing